Abstract
BACKGROUND:
Among pregnant people, COVID-19 can lead to adverse outcomes, but the specific pregnancy outcomes that are affected by the disease are unclear. In addition, the effect of the severity of COVID-19 on pregnancy outcomes has not been clearly identified.
OBJECTIVE:
This study aimed to evaluate the associations between COVID-19 with and without viral pneumonia and cesarean delivery, preterm delivery, preeclampsia, and stillbirth.
STUDY DESIGN:
We conducted a retrospective cohort study (April 2020–May 2021) of deliveries between 20 and 42 weeks of gestation from US hospitals in the Premier Healthcare Database. The primary outcomes were cesarean delivery, preterm delivery, preeclampsia, and still-birth. We used a viral pneumonia diagnosis (International Classification of Diseases -Tenth-Clinical Modification codes J12.8 and J12.9) to categorize patients by severity of COVID-19. Pregnancies were categorized into 3 groups: NOCOVID (no COVID-19), COVID (COVID-19 without viral pneumonia), and PNA (COVID-19 with viral pneumonia). Groups were balanced for risk factors by propensity-score matching.
RESULTS:
A total of 814,649 deliveries from 853 US hospitals were included (NOCOVID: n=799,132; COVID: n=14,744; PNA: n=773). After propensity-score matching, the risks of cesarean delivery and preeclampsia were similar in the COVID group compared with the NOCOVID group (matched risk ratio, 0.97; 95% confidence interval, 0.94–1.00; and matched risk ratio, 1.02; 95% confidence interval, 0.96–1.07; respectively). The risks of preterm delivery and stillbirth were greater in the COVID group than in the NOCOVID group (matched risk ratio, 1.11; 95% confidence interval, 1.05–1.19; and matched risk ratio, 1.30; 95% confidence interval, 1.01–1.66; respectively). The risks of cesarean delivery, preeclampsia, and preterm delivery were higher in the PNA group than in the COVID group (matched risk ratio, 1.76; 95% confidence interval, 1.53–2.03; matched risk ratio, 1.37; 95% confidence interval, 1.08–1.74; and matched risk ratio, 3.33; 95% confidence interval, 2.56–4.33; respectively). The risk of stillbirth was similar in the PNA and COVID group (matched risk ratio, 1.17; 95% confidence interval, 0.40–3.44).
CONCLUSION:
Within a large national cohort of hospitalized pregnant people, we found that the risk of some adverse delivery outcomes was elevated in people with COVID-19 with and without viral pneumonia, with much higher risks in the group with viral pneumonia.
Keywords: cesarean, coronavirus, COVID, COVID-19, fetal death, fetal demise, pneumonia, preeclampsia, pregnancy, pregnant, premature, preterm, SARS-CoV-2, Stillbirth, viral pneumonia
Introduction
COVID-19 can lead to adverse pregnancy outcomes, including hospitalization, intensive care unit admission, and preterm delivery.1–3 However, the literature is inconsistent regarding the effects of COVID-19 on important pregnancy outcomes such as cesarean delivery, preterm delivery, preeclampsia, and stillbirth.3–7
COVID-19 is heterogeneous in its clinical impact, and differences in severity of disease may explain the disparate results of previous studies.3–6,8 Many studies have examined the associations between COVID-19 and pregnancy outcomes,8–10 but fewer studies have described pregnancy outcomes after stratification of patients by severity of COVID-19.11,12 Given the range of clinical presentations of COVID-19, stratification by severity is critical for understanding the impact of COVID-19 on pregnancy outcomes. For example, in a cohort of 1219 pregnant people with COVID-19, 42% of those with critical-severe disease, 15% of those with moderate-mild disease, and 12% of those with asymptomatic infection delivered preterm.11 Our previous work using a large administrative data set shows that among pregnant patients with COVID-19, the diagnosis of viral pneumonia is useful for stratification of disease severity (among pregnant patients with COVID-19, 92% of those who died had viral pneumonia).13
The objective of this study was to estimate the effects of COVID-19 with and without viral pneumonia on cesarean delivery, preterm delivery, preeclampsia, and stillbirth.
Materials and Methods
We conducted a retrospective observational cohort study of people who delivered and were discharged from hospitals in the Premier Healthcare Database (“Premier Database”), an all-payer repository of claims and clinical data from >120 million US inpatient admissions.14 The Premier Database includes community and academic hospitals from geographically diverse areas across the United States and captures approximately 20% of US hospital discharges. Premier internally validates all data before their release into the Premier Database. For most data elements, <1% of patient records have missing information, and for key elements, such as demographics and diagnostic information, <0.01% of data are missing.15 COVID-19 has been previously studied using the Premier Database by several groups, including ours.2,14,16 This study did not include personally identifiable information and was exempt from institutional review board review. We followed the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines.17
The study population included women aged 15 to 45 years with delivery of an infant between 20 and 42 weeks of gestation from April 2020 to May 2021. COVID-19 was defined by the ICD-10-CM (International Classification of Diseases, 10th Revision, Clinical Modification) diagnosis code U07.1.1 This code was internally validated in the Premier Database against laboratory data and found to have a specificity of 98% and a sensitivity of 99% for laboratory-confirmed infection with SARS-CoV-2.17 All admissions with discharge dates from April 2020 to May 2021 and present in the Premier Database as of the data extraction date of May 26, 2021 were included in the study.15 Delivery of the infant was assessed using ICD-10-CM procedure codes (ie, 10D00Z0, 10D00Z1, 10D00Z2, 10D07Z3, 10D07Z4, 10D07Z5, 10D07Z6, 10D07Z7, 10D07Z8, 10E0XZZ). Appendix 1 lists all codes used. Gestational age was assigned using the “Z3A” ICD-10-CM code.18
Viral pneumonia corresponds to at least moderate illness according to the National Institutes of Health classification.19 We used a viral pneumonia diagnosis (ICD-10-CM codes J12.8 and J12.9) to categorize patients by severity of COVID-19. Patients with a viral pneumonia diagnosis comprised 92% of the in-hospital deaths among pregnant people.5,20 Pregnancies were categorized into 3 groups: NOCOVID (no COVID-19), COVID (COVID-19 without viral pneumonia), and PNA (COVID-19 with viral pneumonia).13
The primary outcomes were cesarean delivery, preterm delivery, preeclampsia, and stillbirth (Appendix 1).
The unit of analysis was defined as a unique delivery. For people with >1 delivery in the data set, only the first delivery was included. Health care encounters before and after the delivery encounter were not included. Descriptive statistics for patient and hospital characteristics were calculated using mean (SD), or frequency count (percentage). We used chi-square and Fisher exact tests to test for statistical differences between groups for categorical variables and t tests for continuous variables. To estimate the effect of asymptomatic and milder COVID-19, we selected people without viral pneumonia and compared those with COVID-19 (COVID) with those without COVID-19 (NOCOVID). To estimate the effect of severity of COVID-19 illness, we selected people with COVID-19 and viral pneumonia (PNA) compared with those with COVID-19 and without viral pneumonia (COVID).19
Propensity-score matching was used to reduce confounding of the associations between COVID-19 and pregnancy outcome. Propensity scores were calculated using the PSMATCH procedure with optimal fixed ratio 1:1 matching and exact matching of severely unbalanced covariates between groups. The covariates related to COVID-19 were selected a priori through literature review and expert clinical consensus. Propensity-score models were performed separately for each comparison using the same covariates. Balance among covariates was checked by using a standardized mean difference with a threshold of 0.25. This methodology has been validated and used in pregnancy- and COVID–19-related studies, including by our group.13,21,22
All models were matched for age, race and ethnicity, marital status, payer, hospital number of beds, hospital region, discharge season, and Elixhauser comorbidity score (Elixhauser ICD-10-CM classification system).23,24 Race and ethnicity were included because they are associated with both COVID-19 infection and pregnancy outcomes.25,26 In addition, matching was performed for the most common chronic comorbidities—obesity, hypertension (pregestational or gestational), diabetes mellitus (pregestational or gestational), and chronic pulmonary disease—using standardized Agency for Healthcare Research and Quality methodology and software.23 Using present-on-admission Elixhauser comorbidities, we calculated unweighted (summed) Elixhauser comorbidity scores.23,27,28 For severely unbalanced covariates, exact matching was performed (obesity, hypertension, diabetes mellitus, chronic lung disease, Elixhauser comorbidity score, race/ethnicity, marital status, payer, and discharge season).
To validate the viral pneumonia code for separation of asymptomatic and mild vs at least moderate COVID-19 (COVID vs PNA), we compared length of stay for each comparison. The risk ratios (RRs) and 95% confidence intervals (CIs) for each comparison were computed for the 4 outcomes, first with the unmatched full data set, then with the propensity score–matched subset. Two sensitivity analyses were performed to assess the effect of: (1) admission surveillance testing for SARS-CoV-2, and (2) admission for illness rather than admission only for delivery. For the first sensitivity analysis, we excluded deliveries in the earliest phase of the pandemic when not all labor and delivery units were performing universal SARS-CoV-2 testing (excluded before July 1, 2020).29 For the second sensitivity analysis, we included only full-term deliveries. All tests were 2-tailed, and P values <.05 were used for statistical significance testing. Analyses were performed using SAS, version 9.4 (SAS Institute Inc., Cary, NC).
Results
The cohort consisted of 814,649 pregnant people, of whom 799,132 (98.1%) were in the NOCOVID group, 14,744 (1.8%) were in the COVID group, and 773 (0.1%) were in the PNA group (Tables 1 and 2). Length of stay was 2.4 (2.3), 2.5 (2.4), and 8.7 (10.1) days in the NOCOVID, COVID, and PNA groups, respectively. Cesarean delivery occurred in 32.3% of the NOCOVID, 31.8% of the COVID, and 68.6% of the PNA group (Table 3). Preterm delivery occurred in 10.1% of the NOCOVID, 12.3% of the COVID, and 51.5% of the PNA group, respectively. Preeclampsia occurred in 14.3% of the NOCOVID, 15.4% of the COVID, and 28.7% of the PNA group. Stillbirth occurred in 0.6% of the NOCOVID, 0.9% of the COVID, and 1.3% of the PNA group.
TABLE 1. Baseline characteristics in the unmatched and propensity score–matched people without viral pneumonia, with and without COVID-19.
Characteristics | Unmatched | P value | Matched | P value | ||
---|---|---|---|---|---|---|
COVID: COVID-19 without pneumonia | NOCOVID: no COVID-19 | COVID: COVID-19 without pneumonia | NOCOVID: no COVID-19 | |||
(N=14,744) | (N=799,132) | (N=14,625) | (N=14,625) | |||
Age (y) | 28.2 (5.9) | 28.1 (5.8) | <.001 | 28.2 (5.9) | 28.1 (5.8) | .135 |
Race and ethnicity | ||||||
Hispanic | 5212 (35.3%) | 141,800 (17.7%) | <.001 | 5173 (35.4%) | 5173 (35.4%) | 1.000 |
Non-Hispanic White | 5346 (36.3%) | 432,807 (54.2%) | 5335 (36.5%) | 5335 (36.5%) | ||
Non-Hispanic Black | 2281 (15.5%) | 116,021 (14.5%) | 2255 (15.4%) | 2255 (15.4%) | ||
Non-Hispanic Asian | 451 (3.1%) | 34,446 (4.3%) | 432 (3.0%) | 432 (3.0%) | ||
None of the above/unknown | 1454 (9.9%) | 74,058 (9.3%) | 1430 (9.8%) | 1430 (9.8%) | ||
Marital status | ||||||
Married | 5648 (38.3%) | 379,614 (47.5%) | <.001 | 5615 (38.4%) | 5615 (38.4%) 1.000 | <.001 |
Single | 6895 (46.8%) | 325,899 (40.8%) | 6858 (46.9%) | 6858 (46.9%) | ||
None of the above/unknown | 2201 (14.9%) | 93,619 (11.7%) | 2152 (14.7%) | 2152 (14.7%) | ||
Payer | ||||||
Public | 8730 (59.2%) | 344,449 (43.1%) | <.001 | 8672 (59.3%) | 8672 (59.3%) | 1.000 |
Private | 5074 (34.4%) | 405,089 (50.7%) | 5044 (34.5%) | 5044 (34.5%) | ||
Other | 940 (6.4%) | 49,594 (6.2%) | 909 (6.2%) | 909 (6.2%) | ||
Gestational age (wk) | ||||||
20–27 | 168 (1.1%) | 6940 (0.9%) | 167 (1.1%) | 140 (1.0%) | ||
28–33 | 380 (2.6%) | 16,669 (2.1%) | 377 (2.6%) | 335 (2.3%) | ||
34–36 | 1262 (8.6%) | 57,269 (7.2%) | 1241 (8.5%) | 1128 (7.7%) | ||
37–42 | 12,934 (87.7%) | 718,254 (89.9%) | 12,840 (87.8%) | 13,022 (89.0%) | ||
Hospital number of beds | ||||||
000–299 | 4476 (30.4%) | 292,502 (36.6%) | <.001 | 4446 (30.4%) | 4547 (31.1%) | .316 |
300–499 | 4829 (32.8%) | 240,511 (30.1%) | 4773 (32.6%) | 4668 (31.9%) | ||
500+ | 5439 (36.9%) | 266,119 (33.3%) | 5406 (37.0%) | 5410 (37.0%) | ||
Discharge seasona | ||||||
Spring 2020 | 1666 (11.3%) | 136,722 (17.1%) | <.001 | 1632 (11.2%) | 1632 (11.2%) | 1.000 |
Summer 2020 | 3594 (24.4%) | 209,528 (26.2%) | 3580 (24.5%) | 3580 (24.5%) | ||
Fall 2020 | 3260 (22.1%) | 199,572 (25.0%) | 3251 (22.2%) | 3251 (22.2%) | ||
Winter 2020–21 | 5061 (34.3%) | 173,901 (21.8%) | 5020 (34.3%) | 5020 (34.3%) | ||
Spring 2021 | 1163 (7.9%) | 79,409 (9.9%) | 1142 (7.8%) | 1142 (7.8%) | ||
Hospital region | ||||||
Midwest | 2814 (19.1%) | 177,948 (22.3%) | <.001 | 2793 (19.1%) | 2725 (18.6%) | .178 |
Northeast | 2748 (18.6%) | 109,648 (13.7%) | 2693 (18.4%) | 2665 (18.2%) | ||
South | 6934 (47.0%) | 373,446 (46.7%) | 6909 (47.2%) | 7089 (48.5%) | ||
West | 2248 (15.2%) | 138,090 (17.3%) | 2230 (15.2%) | 2146 (14.7%) | ||
Elixhauser score | 0.8 (1.0) | 0.8 (1.0) | .251 | 0 (0–1) | 0 (0–1) | .972 |
Obesity | 2462 (16.7%) | 120,983 (15.1%) | <.001 | 2407 (16.5%) | 2407 (16.5%) | 1.000 |
Hypertension (pregestational or gestational) | 465 (3.2%) | 24,012 (3.0%) | .294 | 417 (2.9%) | 417 (2.9%) | 1.000 |
Diabetes mellitus (pregestational or gestational) | 1785 (12.1%) | 89,516 (11.2%) | <.001 | 1733 (11.8%) | 1733 (11.8%) | 1.000 |
Chronic pulmonary disease | 831 (5.6%) | 49,329 (6.2%) | .007 | 795 (5.4%) | 795 (5.4%) | 1.000 |
Data are mean (SD) or number (percentage) unless otherwise specified.
Spring: March, April, May; summer: June, July, August; fall: September, October, November; winter: December, January, February.
TABLE 2. Baseline characteristics in the unmatched and propensity score–matched people with COVID-19, with and without viral pneumonia.
Unmatched | P value | Matched | P value | |||
---|---|---|---|---|---|---|
PNA: COVID-19 with pneumonia (N=773) | COVID: COVID-19 without pneumonia (N=14,744) | PNA: COVID-19 with pneumonia (N=772) | COVID: COVID-19 without pneumonia (N=772) | |||
Age (y) | 30.6 (6.2) | 28.2 (6.0) | <.001 | 29.5 (6.1) | 29.2 (5.7) | .485 |
Race and ethnicity | ||||||
Hispanic | 286 (37.0%) | 5212 (35.3%) | <.001 | 286 (37.0%) | 294 (38.1%) | .829 |
Non-Hispanic White | 203 (26.3%) | 5346 (36.3%) | 202 (26.2%) | 194 (25.1%) | ||
Non-Hispanic Black | 152 (19.7%) | 2281 (15.5%) | 152 (19.7%) | 165 (21.4%) | ||
Non-Hispanic Asian | 36 (4.7%) | 451 (3.1%) | 36 (4.7%) | 33 (4.3%) | ||
None of the above/unknown | 96 (12.4%) | 1454 (9.9%) | 96 (12.4%) | 86 (11.1%) | ||
Marital status | ||||||
Married | 322 (41.7%) | 5648 (38.3%) | .162 | 322 (41.7%) | 315 (40.8%) | .696 |
Single | 338 (43.7%) | 6895 (46.8%) | 338 (43.8%) | 333 (43.1%) | ||
None of the above/unknown | 113 (14.6%) | 2201 (14.9%) | 112 (14.5%) | 124 (16.1%) | ||
Payer | ||||||
Public | 451 (58.3%) | 8730 (59.2%) | .645 | 450 (58.3%) | 449 (58.2%) | .936 |
Private | 277 (35.8%) | 5074 (34.4%) | 277 (35.9%) | 281 (36.4%) | ||
Other | 45 (5.8%) | 940 (6.4%) | 45 (5.8%) | 42 (5.4%) | ||
Gestational age (wk) | ||||||
20–27 | 29 (3.8%) | 168 (1.1%) | <.001 | 29 (3.8%) | 18 (2.3%) | .009 |
28–33 | 158 (20.4%) | 380 (2.6%) | 158 (20.5%) | 29 (3.8%) | ||
34–36 | 211 (27.3%) | 1262 (8.6%) | 211 (27.3%) | 80 (10.4%) | ||
37–42 | 375 (48.5%) | 12,934 (87.7%) | 374 (48.4%) | 645 (83.5%) | ||
Hospital number of beds | ||||||
000–299 | 168 (21.7%) | 4476 (30.4%) | <.001 | 168 (21.8%) | 170 (22.0%) | .979 |
300–499 | 244 (31.6%) | 4829 (32.8%) | 243 (31.5%) | 245 (31.7%) | ||
500+ | 361 (46.7%) | 5439 (36.9%) | 361 (46.8%) | 357 (46.2%) | ||
Discharge seasona | ||||||
Spring 2020 | 134 (17.3%) | 1666 (11.3%) | <.001 | 134 (17.4%) | 132 (17.1%) | .933 |
Summer 2020 | 192 (24.8%) | 3594 (24.4%) | 191 (24.7%) | 192 (24.9%) | ||
Fall 2020 | 119 (15.4%) | 3260 (22.1%) | 119 (15.4%) | 120 (15.5%) | ||
Winter 2020–21 | 252 (32.6%) | 5061 (34.3%) | 252 (32.6%) | 242 (31.3%) | ||
Spring 2021 | 76 (9.8%) | 1163 (7.9%) | 76 (9.8%) | 86 (11.1%) | ||
Hospital region | ||||||
Midwest | 142 (18.4%) | 2814 (19.1%) | .011 | 142 (18.4%) | 148 (19.2%) | .980 |
Northeast | 124 (16.0%) | 2748 (18.6%) | 124 (16.1%) | 123 (15.9%) | ||
South | 357 (46.2%) | 6934 (47.0%) | 356 (46.1%) | 350 (45.3%) | ||
West | 150 (19.4%) | 2248 (15.2%) | 150 (19.4%) | 151 (19.6%) | ||
Elixhauser score | 1.8 (1.6) | 0.8 (1.0) | <.001 | 1.1 (1.1) | 1.1 (1.2) | .821 |
Obesity | 283 (36.6%) | 2462 (16.7%) | <.001 | 283 (36.7%) | 289 (37.4%) | .752 |
Hypertension (pregestational or gestational) | 75 (9.7%) | 465 (3.2%) | <.001 | 75 (9.7%) | 67 (8.7%) | .481 |
Diabetes mellitus (pregestational or gestational) | 180 (23.3%) | 1785 (12.1%) | <.001 | 180 (23.3%) | 167 (21.6%) | .428 |
Chronic pulmonary disease | 84 (10.9%) | 831 (5.6%) | <.001 | 84 (10.9%) | 92 (11.9%) | .522 |
Data are mean (SD) or number (percentage) unless otherwise specified.
Spring: March, April, May; summer: June, July, August; fall: September, October, November; winter: December, January, February.
TABLE 3. Frequencies of delivery outcomes by COVID-19 group.
Outcomes | NOCOVID: no COVID-19 (N=799,132) | COVID: COVID-19 without pneumonia (N=14,744) | PNA: COVID-19 with pneumonia (N=773) |
---|---|---|---|
Cesarean delivery | 257,863 (32.3%) | 4687 (31.8%) | 530 (68.6%) |
Preterm delivery | 80,878 (10.1%) | 1810 (12.3%) | 398 (51.5%) |
Preeclampsia | 114,641 (14.3%) | 2267 (15.4%) | 222 (28.7%) |
Stillbirth | 5113 (0.6%) | 140 (0.9%) | 10 (1.3%) |
After propensity-score matching, covariate imbalance between the groups was substantially reduced for all covariates in each comparison, indicating that matching produced groups with a highly similar distribution of risk factors. The balance of covariates included in the propensity-score models before and after matching is shown in Appendix 2. There was sufficient overlap in the distribution of propensity scores between groups, as shown in Appendix 3. Characteristics of pregnancies before and after matching are shown in Tables 1 and 2.
COVID-19 without viral pneumonia
To estimate the effect of COVID-19 without viral pneumonia on pregnancy outcomes, the COVID group was compared with the NOCOVID group after propensity-score matching. Mean length of stay was 2.5 days in both groups (SD 2.1 for NOCOVID, 2.4 for COVID; P=.892). The risks of cesarean delivery and preeclampsia were similar in the COVID group compared with the NOCOVID group (matched RR [mRR], 0.97; 95% CI, 0.94–1.00; and mRR, 1.02; 95% CI, 0.96–1.07; respectively) (Table 4). The risks of preterm delivery and stillbirth were greater in the COVID group than in the NOCOVID group (mRR, 1.11; 95% CI, 1.05–1.19; and mRR, 1.30; 95% CI, 1.01–1.66; respectively). In the sensitivity analysis excluding deliveries from April to June 2020, there was little effect on the results, except that the 95% CI for stillbirth widened to include the null value (mRR, 1.31; 95% CI, 0.99–1.73) (Appendix 4). In the sensitivity analysis excluding preterm deliveries, the mRR for stillbirth was reduced to 1.19 and not statistically significant (95% CI, 0.67–2.13) (Appendix 5).
TABLE 4. Absolute and relative risks of delivery outcomes by COVID-19 group after propensity-score matching.
Outcomes | COVID: COVID-19 without pneumonia (N=14,625) | NOCOVID: no COVID-19 (N=14,625) | mRR (95% CI)a | PNA: COVID-19 with pneumonia (N=772) | COVID: COVID-19 without pneumonia (N=772) | mRR (95% CI)b |
---|---|---|---|---|---|---|
Cesarean delivery | 4630 (31.7%) | 4776 (32.7%) | 0.97 (0.94–1.00) | 529 (68.5%) | 328 (42.5%) | 1.76 (1.53–2.03)c |
Preterm delivery | 1785 (12.2%) | 1603 (11.0%) | 1.11 (1.05–1.19)c | 398 (51.6%) | 127 (16.5%) | 3.33 (2.56–4.33)c |
Preeclampsia | 2228 (15.2%) | 2196 (15.0%) | 1.02 (0.96–1.07) | 222 (28.8%) | 164 (21.2%) | 1.37 (1.08–1.74)c |
Stillbirth | 140 (0.9%) | 108 (0.7%) | 1.30 (1.01–1.66)c | 10 (1.3%) | 7 (0.9%) | 1.17 (0.40–3.44) |
CI, confidence interval; mRR, matched risk ratio.
Reference=NOCOVID;
Reference=COVID;
Statistically significantly different compared to reference group.
COVID-19 with viral pneumonia
To estimate the effect of COVID-19 with viral pneumonia on pregnancy outcomes, the PNA group was compared with the COVID group after propensity-score matching. Mean length of stay was 2.5 (2.3) days in the COVID group and 7.6 (9.2) days in the PNA group (P<.001). The risks of cesarean delivery, preeclampsia, and preterm delivery were higher in the PNA group than in the COVID group (mRR, 1.76; 95% CI, 1.53–2.03; mRR, 1.37; 95% CI, 1.08–1.74; and mRR, 3.33; 95% CI, 2.56–4.33; respectively) (Table 4). The risk of stillbirth was similar in the PNA and COVID groups (mRR, 1.17; 95% CI, 0.40–3.44). In the sensitivity analysis excluding deliveries from April to June 2020, there was no effect on the results (Appendix 4). In the sensitivity analysis excluding preterm deliveries, the risk of cesarean delivery remained higher (mRR, 1.72; 95% CI, 1.38–2.15), the risk of preeclampsia was not statistically significantly different between groups (mRR, 1.23; 95% CI, 0.86–1.75), and there was 1 stillbirth (1/242; 0.3%) in the matched PNA and no stillbirths (0/242) in the matched COVID (Appendix 5).
Discussion
Principal findings
This study estimates the effects of COVID-19 with and without viral pneumonia on pregnancy outcomes. The highest risks of cesarean delivery, preterm delivery, preeclampsia, and stillbirth were in the group with COVID-19 with pneumonia, and risks of preterm delivery and stillbirth were slightly higher in the group with COVID-19 without pneumonia compared with the group without COVID-19.
Results
Cesarean delivery.
Among pregnant people with COVID-19, the risk of cesarean delivery was greater in people with pneumonia compared with people without pneumonia. This is consistent with previous studies showing a higher risk of cesarean delivery in people with COVID-19 compared with people without COVID-19.4–6,30–33 This increase in cesarean delivery among people with COVID-19 pneumonia may be due to maternal distress and the need for controlled, expedited delivery.5,34–36 We found no increased risk of cesarean delivery among people with COVID-19 without pneumonia compared with those without COVID-19. These opposing results may explain the heterogeneity of meta-analyses that did not stratify by severity of COVID-19 infection.4,12,37–39
Preterm delivery.
The risk of preterm delivery increased with disease severity. Those in the NOCOVID group had the lowest risk, with risks increasing in the COVID and PNA groups. These results are consistent with previous literature and demonstrate that even COVID-19 infection without viral pneumonia (ie, mild COVID-19) is associated with increased risk of preterm delivery.3–5,30–33 We did not differentiate spontaneous vs indicated preterm deliveries; previous studies suggest that although most preterm deliveries are spontaneous, most of the excess preterm deliveries because of COVID-19 are indicated.10
Preeclampsia.
Among pregnant people with COVID-19, the risk of preeclampsia is greater among those with pneumonia compared with those without pneumonia. However, the risk of preeclampsia was similar between the COVID and NOCOVID group. Thus, the effect of COVID-19 on preeclampsia seems restricted to those with pneumonia. This is consistent with previous literature but clarifies the population at risk.3,33
Stillbirth.
The results of our study were consistent with those of previous studies showing increased risk of stillbirth among people with COVID-19.3 People in the COVID group had a higher risk of stillbirth compared with people without COVID-19. Restricting to people with COVID-19, the RR for stillbirth in people with vs without pneumonia was similar (1.17) but had a wide CI of 0.40 to 3.44 because of the small number of pregnant people admitted with COVID-19 and pneumonia. In addition, the risk of stillbirth was not statistically significantly different between the NOCOVID and COVID group in either sensitivity analysis, weakening the strength of the result. However, both sensitivity analyses decreased the population at risk and thus statistical power to detect differences between groups (eg, 81% of stillbirths were preterm, which is consistent with the known distribution by gestational age). Given the rarity of stillbirth and especially term stillbirth, a larger study is needed to further investigate the effect of COVID-19 on stillbirth.3
Clinical implications
The primary clinical implication of this study is that risks of COVID-19 are more strongly associated with viral pneumonia than with milder disease, but that milder disease also affects pregnancy outcomes. Cesarean delivery was common, but without significant differences between the NOCOVID and COVID group. However, over two-thirds of patients in the PNA group delivered via cesarean delivery (1.8 times the risk in the COVID group). Over half of the PNA group was delivered preterm (>3 times the risk of the COVID group). The difference between the NOCOVID and COVID group (mRR, 1.1) was much smaller and less clinically significant. Although our data set does not include vaccination status, it is important to note that vaccination protects against severe disease in pregnant patients.40
Research implications
The differential risks found in this study should be verified with a different study design to confirm the findings. All of the findings are nondirectional associations, and further research is needed to understand the biological mechanisms underlying these relationships, in which COVID-19 may cause adverse pregnancy outcomes, or a common cause may lead to both COVID-19 and adverse pregnancy outcomes.
Strengths and limitations
We used a hospital-based, national database of patient-level data, which has been used for studies of COVID-19 and pregnancy.2,8,41–44 The Premier Database consists of a well-defined population, and the stratification we used has been validated in previous research.2,45 Jering et al8 used the Premier Database to compare outcomes of pregnant people with and without COVID-19, but did not stratify outcomes by disease severity.8 This limitation was not unique to Jering et al8; several meta-analyses of pregnancy outcomes among people with and without COVID-19 did not stratify the outcomes by disease severity.3–6,30–33 In addition, other studies compared patients with varying severity of COVID-19 with a single reference group of patients either without infection12 or with asymptomatic infection.11 Others compared COVID-19 with no COVID-19, asymptomatic with symptomatic, and/or mild with severe.7,46 Only 1 previous study has compared mild COVID-19 with no COVID-19.47 Our study used 2 references—no COVID-19 and COVID-19 without pneumonia—which allowed a better assessment of the specific risks associated with each classification of disease severity.
Our study is not without limitations. Determining the chronological order of each diagnosis (COVID-19 infection and measured outcomes) is not possible in the Premier Database because all diagnoses are finalized after patient discharge. Although we estimated severity of disease with the viral pneumonia diagnosis, this is only an approximation for more detailed information on symptom status and disease severity. However, we found that after matching, the NOCOVID and COVID group had a similar length of stay, suggesting that the COVID group comprised patients with asymptomatic or mild disease. Although laboratory test results were not available, the literature shows that COVID-19 diagnosis and laboratory-confirmed SARS-CoV-2 infection are strongly correlated.17 However, when the infection occurred in pregnancy (at the time of delivery or earlier), and whether infections earlier in pregnancy were captured by the Premier Database cannot be determined. Because not all pregnant patients presenting for delivery in the early phase of the pandemic (April through June 2020) were tested for SARS-CoV-2, selective testing based on more serious clinical presentations (eg, stillbirth) may have biased the results. However, the sensitivity analysis excluding these deliveries found a similar estimate of increased risk with COVID-19, suggesting that targeted testing in the beginning of the pandemic did not bias the results. These data include people discharged from April 2020 to May 2021, and thus the results relate to the effects of wild-type and Alpha variants of SARS-CoV-2,48 which may be different from the effects of the Delta and Omicron variants.13,49 In addition, the study results cannot be generalized to patients who are not hospitalized. Misclassification of diagnosis codes and residual confounding may also affect results.
Conclusions
COVID-19 both with and without viral pneumonia is associated with adverse delivery outcomes, although COVID-19 with viral pneumonia is associated with the worst outcomes, with over half of deliveries preterm and two-thirds delivered by cesarean delivery.□
Supplementary Material
AJOG MFM at a Glance.
Why was this study conducted?
This study aimed to identify the risk of adverse pregnancy outcomes associated with COVID-19—both the risks of infection vs no infection and the added risks with viral pneumonia
Key findings
The risk of preterm delivery was 10% higher in people with COVID-19 than in those without. The risk of stillbirth was 30% higher in people with COVID-19 than in those without. Among those with COVID-19, the risks of cesarean delivery, preeclampsia, and preterm delivery were higher in people with than in those without viral pneumonia.
What does this add to what is known?
COVID-19 both with and without viral pneumonia is associated with adverse pregnancy outcomes.
Acknowledgments
No financial support was received for this study.
Footnotes
B.D. and Y.T. share first authorship.
The authors report no conflict of interest.
Supplementary materials
Supplementary material associated with this article can be found in the online version at doi:10.1016/j.ajogmf.2023.101077.
Contributor Information
Brianna DuBose, University of Maryland School of Medicine, Baltimore, MD.
Yazmeen Tembunde, University of Maryland School of Medicine, Baltimore, MD.
Katherine E. Goodman, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.
Lisa Pineles, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.
Gita Nadimpalli, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.
Jonathan D. Baghdadi, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.
Jacqueline G. Parchem, Department of Obstetrics, Gynecology and Reproductive Sciences, John P. and Kathrine G. McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX.
Anthony D. Harris, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD.
Beth L. Pineles, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
References
- 1.Centers for Disease Control and Prevention. ICD-10-CM official coding and reporting guidelines. 2020. Accessed June 20, 2022. https://www.cdc.gov/nchs/data/icd/COVID-19-guidelines-final.pdf. Accessed September 30, 2020. [Google Scholar]
- 2.Pineles BL, Goodman KE, Pineles L, et al. In-hospital mortality in a cohort of hospitalized pregnant and nonpregnant patients with COVID-19. Ann Intern Med 2021;174:1186–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Allotey J, Stallings E, Bonet M, et al. Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: living systematic review and meta-analysis. BMJ 2020;370:m3320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.di Toro F, Gjoka M, di Lorenzo G, et al. Impact of COVID-19 on maternal and neonatal outcomes: a systematic review and meta-analysis. Clin Microbiol Infect 2021;27:36–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bellos I, Pandita A, Panza R. Maternal and perinatal outcomes in pregnant women infected by SARS-CoV-2: a meta-analysis. Eur J Obstet Gynecol Reprod Biol 2021;256:194–204. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Yang Z, Wang M, Zhu Z, Liu Y. Coronavirus disease 2019 (COVID-19) and pregnancy: a systematic review. J Matern Fetal Neonatal Med 2022;35:1619–22. [DOI] [PubMed] [Google Scholar]
- 7.Wei SQ, Bilodeau-Bertrand M, Liu S, Auger N. The impact of COVID-19 on pregnancy outcomes: a systematic review and meta-analysis. CMAJ 2021;193:E540–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Jering KS, Claggett BL, Cunningham JW, et al. Clinical characteristics and outcomes of hospitalized women giving birth with and without COVID-19. JAMA Intern Med 2021;181: 714–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Yang H, Sun G, Tang F, et al. Clinical features and outcomes of pregnant women suspected of coronavirus disease 2019. J Infect 2020;81:e40–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ferrara A, Hedderson MM, Zhu Y, et al. Perinatal complications in individuals in California with or without SARS-CoV-2 infection during pregnancy. JAMA Intern Med 2022;182: 503–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Metz TD, Clifton RG, Hughes BL, et al. Disease severity and perinatal outcomes of pregnant patients with coronavirus disease 2019 (COVID-19). Obstet Gynecol 2021;137:571–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Villar J, Ariff S, Gunier RB, et al. Maternal and neonatal morbidity and mortality among pregnant women with and without COVID-19 infection: The INTERCOVID Multinational Cohort Study. JAMA Pediatr 2021;175:817–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Pineles BL, Goodman KE, Pineles L, et al. Pregnancy and the risk of in-hospital coronavirus disease 2019 (COVID-19) mortality. Obstet Gynecol 2022;139:846–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Pennington AF, Kompaniyets L, Summers AD, et al. Risk of clinical severity by age and race/ethnicity among adults hospitalized for COVID-19-United States, March-September 2020. Open Forum Infect Dis 2021;8:ofaa638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Premier healthcare database white paper. Premier Healthcare Database White Paper. Available at: https://learn.premierinc.com/white-papers/premier-healthcaredatabase-whitepaper. Accessed January 27, 2022. [Google Scholar]
- 16.Rosenthal N, Cao Z, Gundrum J, Sianis J, Safo S. Risk factors associated with in-hospital mortality in a US national sample of patients with COVID-19. JAMA Netw Open 2020;3: e2029058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kadri SS, Gundrum J, Warner S, et al. Uptake and accuracy of the diagnosis code for COVID-19 among US hospitalizations. JAMA 2020;324:2553–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Sarayani A, Wang X, Thai TN, Albogami Y, Jeon N, Winterstein AG. Impact of the Transition from ICD-9-CM to ICD-10-CM on the Identification of Pregnancy Episodes in US Health Insurance Claims Data. Clin Epidemiol 2020;12:1129–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.National Institutes of Health. Coronavirus Disease 2019 (COVID-19) Treatment Guidelines. Available at: https://www.covid19treatmentguidelines.nih.gov/. Accessed December 13, 2022. [Google Scholar]
- 20.Prabhu M, Cagino K, Matthews KC, et al. Pregnancy and postpartum outcomes in a universally tested population for SARS-CoV-2 in New York City: a prospective cohort study. BJOG 2020;127:1548–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Sekkarie A, Woodruff R, Whitaker M, et al. Characteristics and treatment of hospitalized pregnant women with COVID-19. Am J Obstet Gynecol MFM 2022;4:100715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Stuart EA, Lee BK, Leacy FP. Prognostic score-based balance measures can be a useful diagnostic for propensity score methods in comparative effectiveness research. J Clin Epidemiol 2013;66. S84–90.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care 1998;36:8–27. [DOI] [PubMed] [Google Scholar]
- 24.Elixhauser Comorbidity Softw ICD-10-CM. Version 2020.1 (beta version). Available at: https://www.hcup-us.ahrq.gov/toolssoftware/comorbidityicd10/comorbidity_icd10.jsp#download. Published. 10/2019. Accessed 8/26/2020. [Google Scholar]
- 25.Bassett MT, Chen JT, Krieger N. Variation in racial/ethnic disparities in COVID-19 mortality by age in the United States: a cross-sectional study. PLoS Med 2020;17:e1003402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Martin JA, Hamilton BE, Osterman MJK, Driscoll AK. Births: Final Data for 2019. Natl Vital Stat Rep 2021;70:1–51. [PubMed] [Google Scholar]
- 27.Moore BJ, White S, Washington R, Coenen N, Elixhauser A. Identifying increased risk of readmission and in-hospital mortality using hospital administrative data: The AHRQ Elixhauser Comorbidity Index. Med Care 2017;55:698–705. [DOI] [PubMed] [Google Scholar]
- 28.Goodman KE, Magder LS, Baghdadi JD, et al. Impact of sex and metabolic comorbidities on coronavirus disease 2019 (COVID-19) mortality risk across age groups: 66 646 inpatients across 613 U.S. hospitals. Clin Infect Dis 2021;73:e4113–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Pluym ID, Rao R, Ballas J, et al. Obstetrical unit response to the COVID-19 pandemic: OUR study. Am J Perinatol 2020;37:1301–9. [DOI] [PubMed] [Google Scholar]
- 30.Dhir SK, Kumar J, Meena J, Kumar P. Clinical features and outcome of SARS-CoV-2 infection in neonates: a systematic review. J Trop Pediatr 2021;67:fmaa059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Papapanou M, Papaioannou M, Petta A, et al. Maternal and neonatal characteristics and outcomes of COVID-19 in pregnancy: an overview of systematic reviews. Int J Environ Res Public Health 2021;18:596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Wang CL, liu YY, Wu CH, Wang CY, Wang CH, Long CY. Impact of COVID-19 on pregnancy. Int J Med Sci 2021;18:763–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Antoun L, el Taweel NE, Ahmed I, Patni S, Honest H. Maternal COVID-19 infection, clinical characteristics, pregnancy, and neonatal outcome: a prospective cohort study. Eur J Obstet Gynecol Reprod Biol 2020;252:559–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Debrabandere ML, Farabaugh DC, Giordano C. A review on mode of delivery during COVID-19 between December 2019 and April 2020. Am J Perinatol 2021;38:332–41. [DOI] [PubMed] [Google Scholar]
- 35.Sentilhes L, de Marcillac F, Jouffrieau C, et al. Coronavirus disease 2019 in pregnancy was associated with maternal morbidity and preterm birth. Am J Obstet Gynecol 2020;223. 914.e1–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Juan J, Gil MM, Rong Z, Zhang Y, Yang H, Poon LC. Effect of coronavirus disease 2019 (COVID-19) on maternal, perinatal and neonatal outcome: systematic review. Ultrasound Obstet Gynecol 2020;56:15–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Malhotra Y, Miller R, Bajaj K, Sloma A, Wieland D, Wilcox W. No change in cesarean section rate during COVID-19 pandemic in New York City. Eur J Obstet Gynecol Reprod Biol 2020;253:328–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Eleje GU, Ugwu EO, Enebe JT, et al. Cesarean section rate and outcomes during and before the first wave of COVID-19 pandemic. SAGE Open Med 2022;10: 20503121221085453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Chinn J, Sedighim S, Kirby KA, et al. Characteristics and outcomes of women with COVID-19 giving birth at US academic centers during the COVID-19 pandemic. JAMA Netw Open 2021;4:e2120456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.de Freitas Paganoti C, Alkmin da Costa R, Papageorghiou AT, et al. COVID-19 vaccines confer protection in hospitalized pregnant and postpartum women with severe COVID-19: a retrospective cohort study. Vaccines (Basel) 2022;10:749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Ko JY, DeSisto CL, Simeone RM, et al. Adverse pregnancy outcomes, maternal complications, and severe illness among US delivery hospitalizations with and without a coronavirus disease 2019 (COVID-19) diagnosis. Clin Infect Dis 2021;73:S24–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.DeSisto CL, Wallace B, Simeone RM, et al. Risk for stillbirth among women with and without COVID-19 at delivery hospitalization - United States, March 2020-September 2021. MMWR Morb Mortal Wkly Rep 2021;70:1640–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Simeone RM, Downing KF, Wallace B, et al. Changes in rates of adverse pregnancy outcomes during the COVID-19 pandemic: a cross-sectional study in the United States, 2019–2020. J Perinatol 2022;42:617–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Ackerman CM, Nguyen JL, Ambati S, et al. Clinical and pregnancy outcomes of coronavirus disease 2019 among hospitalized pregnant women in the United States. Open Forum Infect Dis 2022;9:ofab429. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Pineles BL, Alamo IC, Farooq N, et al. Racial-ethnic disparities and pregnancy outcomes in SARS-CoV-2 infection in a universally-tested cohort in Houston, Texas. Eur J Obstet Gynecol Reprod Biol 2020;254:329–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Smith LH, Dollinger CY, VanderWeele TJ, Wyszynski DF. Hernández-Díaz S. Timing and severity of COVID-19 during pregnancy and risk of preterm birth in the International Registry of coronavirus Exposure in Pregnancy. BMC Pregnancy Childbirth 2022;22:775. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Cosma S, Carosso AR, Cusato J, et al. Preterm birth is not associated with asymptomatic/mild SARS-CoV-2 infection per se: prepregnancy state is what matters. PLoS One 2021;16:e0254875. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Centers for Disease Control and Prevention. Unpacking variants. 2019. Available at: https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/past-reports/04222022.html. Accessed September 23, 2022. [Google Scholar]
- 49.Seasely AR, Blanchard CT, Arora N, et al. Maternal and perinatal outcomes associated with the omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Obstet Gynecol 2022;140:262–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.